816 subjects had a valid VSPLOT_OFF measure.
Multivariate prediction (GLM-based, automatic feature selection, leave-one-family-out prediction)
Original data space: r=0.32 CoD=0.10 Deconfounded space: r=0.14 CoD=0.01
Scatterplot shows predicted-VSPLOT_OFF vs measured-VSPLOT_OFF (in original and deconfounded data space).
Univariate regression (regressing each netmat element independently against VSPLOT_OFF, correcting for multiple comparisons across elements, using PALM permutation testing, taking into account family structure).
Number of significantly correlated edges at p<0.05 (two-tailed, FWE corrected) = 2 (minimum corrected p = 0.0026)
Number of significantly correlated edges at p<0.05 (two-tailed, uncorrected) = 23 (6 expected by chance)
Image shows edges (node-pairs) whose connection most strongly correlates with VSPLOT_OFF (in decreasing order), with t-statistic listed at the top of each node-pair.
